Software Engineering (SE346) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Software Engineering SE346 3 1 2 3 6
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Drill and Practice.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to introduce computer software and its types, the fundamental concepts of Software Engineering discipline, various software process models, the phased-approach of software development, and activities of each phase, the tools and techniques used in various activities of the phased-approach of software development, software project and configuration management concepts, quality assurance, software engineering economics, and other Software Engineering issues such as ethical and professional issues.
Course Learning Outcomes The students who succeeded in this course;
  • Describe methods for the analysis, design and maintenance of software systems
  • Gain necessary information for the analysis and design of quality software
  • Identify the development life cycle and related process and methods
  • Explain basics of software project management and its main drivers such as cost, schedule, quality and risk
  • Use software metrics to measure software quality and project performance
  • Attain knowledge on the use of CASE tools
Course Content Software project management: metrics, estimation, scheduling, planning; software requirement analysis techniques, software design techniques, software implementation, software quality assurance and testing, software maintenance, software configuration management, risk management in software development projects, recent trends and methods in softwar

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction (Ch.1)
2 Software processes (Ch.2)
3 Agile software development (Ch.3)
4 Requirements engineering (Ch.4)
5 System modeling (Ch.5)
6 Architectural design (Ch.6)
7 Design and implementation (Ch.7)
8 Design and implementation - Continued (Ch.7)
9 Software testing (CH.8)
10 Software evolution (Ch.9)
11 Project management (Ch.22)
12 Project planning (Ch.23)
13 Quality management (Ch.24)
14 Configuration management (Ch.25)

Sources

Course Book 1. Sommerville, I., Software Engineering, Addison-Wesley, 2016 (10th edition)
Other Sources 2. Pressman, R. S. ve Maxim, B. Software Engineering, McGraw Hill, 2014 (8th edition)
3. ISO/IEC TR 19759:2005, Software Engineering - Guide to the Software Engineering Body of Knowledge (SWEBOK), ANSI, 2007
4. Van Vliet, H., Software Engineering: Principles and Practice, Wiley, 2008 (1st edition)
5. Tsui, F. F., Karam, O., Essentials of Software Engineering, Jones & Bartlett Publishers, 2006 (1st edition)
6. Schach, S. R., Object-oriented and Classical Software Engineering, McGraw Hill, 2010 (8th edition)

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 1 10
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 4 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 35
Toplam 7 95
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems.
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. X
3 The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. X
4 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively. X
5 The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline.
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually
7 Effective oral and writen communication skills in Turkish; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
8 The knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
9 Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology.
10 The ability to behave according to ethical principles, awareness of professional and ethical responsibility;
11 Knowledge of the standards utilized in software engineering applications
12 Knowledge on business practices such as project management, risk management and change management; X
13 Awareness about entrepreneurship, innovation
14 Knowledge on sustainable development
15 Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety;
16 Awareness of the legal consequences of engineering solutions
17 An ability to describe, analyze and design digital computing and representation systems.
18 An ability to use appropriate computer engineering concepts and programming languages in solving computing problems. X

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 4 64
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 3 48
Presentation/Seminar Prepration
Project
Report
Homework Assignments 4 4 16
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 158